MARKER-TRACKING AND DEEP-LEARNING-BASED POSE ESTIMATION FOR AUTOMATIC CRANE WORK

Author:

KADO Keita1,MOROHASHI Takahiro2,HONDA Yuki2,HIRASAWA Gakuhito1

Affiliation:

1. Graduate School of Engineering, Chiba Univ.

2. Graduate School of Science and Engineering, Chiba Univ.

Publisher

Architectural Institute of Japan

Subject

Building and Construction,Architecture

Reference14 articles.

1. 1) i-Construction 委員会, i-Construction~建設現場の生産性革命~, 2016 https://www.mlit.go.jp/tec/i-construction/index.html (Accessed 2020-07-30)

2. 2) 三輪, 他, 鉄骨工事における自動化技術に関する開発, 戸田建設株式会社技術研究報告 , 第 43 号 , 2017 https://www.toda.co.jp/lucubration/pdf/v675.pdf (Accessed 2020-07-30)

3. 3) K. Ueda, et.al., Research on utilization of computer vision in construction site Part 1-2, Summaries of Technical Papers of Annual Meeting (hokuriku), Architectural Institute of Japan, 2019.9 上田, 他, 施工現場におけるコンピュータビジョンの活用に関する研究 その 1-2, 日本建築学会大会(北陸)学術講演梗概集, 2019.9

4. 4) S. Ercan, et.al., Automated Localization of a Mobile Construction Robot with an External Measurement Device, 36th International Symposium on Automation and Robotics in Construction (ISARC 2019), 2019

5. 5) M. Neuhausen, et.al., Construction Worker Detection and Tracking in Bird’s-Eye View Camera Images, 35th International Symposium on Automation and Robotics in Construction (ISARC 2018), 2018

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